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A Karhunen Loeve Transform Approach for Recovering Evoked Potentials from Electroencephalograph

A Karhunen Loeve Transform (KLT) approach for extracting evoked potentials (EPs) from the brain is proposed. The desired EP is heavily contaminated by colored electroencephalograph (EEG) noise which degrades the signal-to-noise ratio (SNR) to as low as -10 dB, making EP estimation highly challenging...

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Main Authors: Yusoff, Mohd Zuki, Kamel , Nidal
Format: Conference or Workshop Item
Published: 2009
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://www.rovisp.org/accepted-papers-cis.html
http://eprints.utp.edu.my/2274/
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spelling my.utp.eprints.22742010-05-25T04:21:24Z A Karhunen Loeve Transform Approach for Recovering Evoked Potentials from Electroencephalograph Yusoff, Mohd Zuki Kamel , Nidal TK Electrical engineering. Electronics Nuclear engineering A Karhunen Loeve Transform (KLT) approach for extracting evoked potentials (EPs) from the brain is proposed. The desired EP is heavily contaminated by colored electroencephalograph (EEG) noise which degrades the signal-to-noise ratio (SNR) to as low as -10 dB, making EP estimation highly challenging. The proposed time domain constrained KLT-based estimator explicitly applies pre-whitening on the noisy observation. The whitened data still enable the utilization of a symmetric basis matrix to be eigen-decomposed into its corresponding eigenvalue and eigenvector matrices. The diagonalization process actually decomposes the contaminated EP into decorrelated components; the components which are excessively dominated by EEG noise are discarded, and the ones which are less affected by the noise are preserved. Later, the preserved components are composed and correlated back to the original form to recover the desired EP. The performance of the filter in estimating the EP is then assessed using simulation and real patient data. The estimator produces reasonably low errors and high success rate in both experiments. 2009-12-19 Conference or Workshop Item PeerReviewed http://www.rovisp.org/accepted-papers-cis.html Yusoff, Mohd Zuki and Kamel , Nidal (2009) A Karhunen Loeve Transform Approach for Recovering Evoked Potentials from Electroencephalograph. In: the 7th International Conference on Robotics, Vision, Signal Processing and Power Applications (RoViSP 2009), December 19-20, 2009, Awana Porto Malai, Langkawi, Kedah, Malaysia. http://eprints.utp.edu.my/2274/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Yusoff, Mohd Zuki
Kamel , Nidal
A Karhunen Loeve Transform Approach for Recovering Evoked Potentials from Electroencephalograph
description A Karhunen Loeve Transform (KLT) approach for extracting evoked potentials (EPs) from the brain is proposed. The desired EP is heavily contaminated by colored electroencephalograph (EEG) noise which degrades the signal-to-noise ratio (SNR) to as low as -10 dB, making EP estimation highly challenging. The proposed time domain constrained KLT-based estimator explicitly applies pre-whitening on the noisy observation. The whitened data still enable the utilization of a symmetric basis matrix to be eigen-decomposed into its corresponding eigenvalue and eigenvector matrices. The diagonalization process actually decomposes the contaminated EP into decorrelated components; the components which are excessively dominated by EEG noise are discarded, and the ones which are less affected by the noise are preserved. Later, the preserved components are composed and correlated back to the original form to recover the desired EP. The performance of the filter in estimating the EP is then assessed using simulation and real patient data. The estimator produces reasonably low errors and high success rate in both experiments.
format Conference or Workshop Item
author Yusoff, Mohd Zuki
Kamel , Nidal
author_facet Yusoff, Mohd Zuki
Kamel , Nidal
author_sort Yusoff, Mohd Zuki
title A Karhunen Loeve Transform Approach for Recovering Evoked Potentials from Electroencephalograph
title_short A Karhunen Loeve Transform Approach for Recovering Evoked Potentials from Electroencephalograph
title_full A Karhunen Loeve Transform Approach for Recovering Evoked Potentials from Electroencephalograph
title_fullStr A Karhunen Loeve Transform Approach for Recovering Evoked Potentials from Electroencephalograph
title_full_unstemmed A Karhunen Loeve Transform Approach for Recovering Evoked Potentials from Electroencephalograph
title_sort karhunen loeve transform approach for recovering evoked potentials from electroencephalograph
publishDate 2009
url http://www.rovisp.org/accepted-papers-cis.html
http://eprints.utp.edu.my/2274/
_version_ 1738655180112527360
score 13.211869

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